code: def create_and_check_mpnet_for_sequence_classification(
      self,
      config,
      input_ids,
      input_mask,
      sequence_labels,
      token_labels,
      choice_labels,
  ):
      config.num_labels = self.num_labels
      model = TFMPNetForSequenceClassification(config)
      inputs = {"input_ids": input_ids, "attention_mask": input_mask}
      result = model(inputs)
      self.parent.assertEqual(
          result.logits.shape, (self.batch_size, self.num_labels)
      )
  
imports: import unittest
  from transformers import MPNetConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 6 for calling the TFMPNetModelTester obj's underlying member method code with example usage: obj.create_and_check_mpnet_for_sequence_classification(config, input_ids, input_mask, sequence_labels, token_labels, choice_labels) without return types